Research on the Construction of Smart ECG Cloud Platform Based on 5G-AIoT and Its Regional Collaborative Application: A Multi-Center Empirical Study of Zhuhai People's Hospital

With the rapid development of digital medical technology, the application of the Internet and cloud platforms in electrocardiogram (ECG) management has gradually become an important means to enhance the quality of medical services. This paper takes Zhuhai People's Hospital as the experimental example, relying on 5 G network, to realize the networking of ECG and blood pressure data and establish a municipal-level remote ECG and blood pressure center platform. This platform can handle over 1,000 cases of ECG and blood pressure diagnosis diagnoses per day, providing remote monitoring and early warning services for patients in the main hospital, Gaolan Port Hospital, High-tech Zone Hospital, and township community hospitals. Since the establishment of the platform, the system has processed over 1.06 million image judgments, using AI technology for pre-diagnosis, aiming to solve the problem of uneven distribution of medical resources and promote the longitudinal flow of high-quality medical resources. It has achieved three breakthroughs: (1) Developed a distributed AI diagnosis system supporting millions of concurrent terminals (peak processing capacity of 1,200 cases/minute); (2) Established a resource dynamic scheduling model based on risk prediction (optimization rate of Markov decision process 38.7%); (3) Designed a cross-border data channel in compliance with GDPR-PIPL dual compliance framework. Empirical evidence shows that the system has reduced the door-to-needle time (D2N) for patients with acute ST-segment elevation myocardial infarction (STEMI) from (71.2 ± 12.3) minutes to (53.5 ± 9.8) minutes (p<0.001, Cohen's d=1.63), and reduced the base-level misdiagnosis rate by 72.9% (95% CI 68.4-76.8). The research results indicate that this system effectively improves the coverage and diagnostic efficiency of ECG monitoring, providing new ideas for regional medical development and cooperation.